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DC poleHodnotaJazyk
dc.contributor.authorBenger, Werner
dc.contributor.authorVoicu, Anca
dc.contributor.authorBaran, Ramona
dc.contributor.authorGonciulea, Loredana
dc.contributor.authorBarna, Cosmin
dc.contributor.authorSteinbacher, Frank
dc.contributor.editorSkala, Václav
dc.date.accessioned2023-10-17T15:11:18Z
dc.date.available2023-10-17T15:11:18Z
dc.date.issued2023
dc.identifier.citationWSCG 2023: full papers proceedings: 1. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision, p. 176-185.en
dc.identifier.isbn978-80-86943-32-9
dc.identifier.issn2464–4617 (print)
dc.identifier.issn2464–4625 (CD/DVD)
dc.identifier.urihttp://hdl.handle.net/11025/54423
dc.format10 s.cs
dc.format.mimetypeapplication/pdf
dc.language.isoenen
dc.publisherVáclav Skala - UNION Agencyen
dc.rights© Václav Skala - UNION Agencyen
dc.subjectmračno bodůcs
dc.subjectinterakcecs
dc.subjectklasifikacecs
dc.subjecteditaci datcs
dc.subjectdatový model svazku vlákencs
dc.subjectvrátit historiics
dc.titleThe Method of Mixed States for Interactive Editing of Big Point Cloudsen
dc.typekonferenční příspěvekcs
dc.typeconferenceObjecten
dc.rights.accessopenAccessen
dc.type.versionpublishedVersionen
dc.description.abstract-translatedWe present a novel methodological approach for the interactive editing of big point clouds. Based on the mathematics of fiber bundles, the proposed approach to model a data structure that is efficient for visualization, modification and I/O including an unlimited multi-level set of editing states useful for expressing and maintain ing multiple undo histories. Backed by HDF5 as high performance file format, this data structure naturally al lows persistent storage for the history of modification actions, an unique new feature of our approach. The challenges of visually based manual editing of big point clouds are discussed and a proper rendering solution is presented. The implemented solution and its features as consequences of the underlying methodology are compared with two major mainstream applications provid ing point-cloud editing tools as well.en
dc.subject.translatedpoint clouden
dc.subject.translatedinteractionen
dc.subject.translatedclassificationen
dc.subject.translateddata editingen
dc.subject.translatedfiber bundle data modelen
dc.subject.translatedundo historyen
dc.identifier.doihttps://www.doi.org/10.24132/CSRN.3301.21
dc.type.statusPeer-revieweden
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